#Strands-agents
Showing 13 of 13 repositories tagged #strands-agents, ranked by stars
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.
A set of tools that gives agents powerful capabilities.
Agent samples built using the Strands Agents SDK.
A model-driven approach to building AI agents in just a few lines of code.
An example agent demonstrating streaming, tool use, and interactivity from your terminal. This agent builder can help you to build your own agents and tools.
Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB
Documentation for the Strands Agents SDK. A model-driven approach to building AI agents in just a few lines of code.
A comprehensive evaluation framework for AI agents and LLM applications.
Learn to build AI agents with Strands framework. Covers LLM integration via Amazon Bedrock/Anthropic, AWS service connections, tool implementation with MCP/A2A protocols, and agent evaluation using LangFuse/RAGAS.
Build production-ready AI agents with the Strands Agents SDK and AWS services. This repository demonstrates how you can create multi-modal systems with persistent memory in minimal code. Progress from your first agent to production-ready systems through hands-on chapters.
Demo with multiple AI agents using A2A (agent-to-agent) with the Strands Agents SDK.
Guidance on deploying a generative AI document analysis with Amazon Bedrock AgentCore. Auto-classifies, enhances, and aggregates multi-type documents using Gestalt-informed vision prompts. Custom analyzer creation wizard. Scripted CDK deployment. Gradio frontend included.